基于变换的广义特征空间波束形成器在低快拍数、低信噪比和相干信源条件下波束形成性能下降,为解决这一问题,文章提出基于变换的线性约束斜投影波束形成(T-LCOBPB)算法,该算法用变换矩阵对接收信号进行变换后,将线性约束tfizJ,方差算法的静态权向量向信~-:/W_N作斜投影得到自适应权向量,从而实现自适应波束形成。数值仿真表明,T-LCOBPB算法在高、低信噪比都具有较好的波束形成性能,且在低快拍数和相干信源情况下仍具有较好的波束形成性能,是一种性能优越且鲁棒的波束形成方法。
The transformation-based generalized eigenspace-based beamformer has worse performance under the conditions of small snapshot number, low SNR and coherent sources. In this paper, the transformation-based linearly constrained oblique projection beamforming(T-LCOBPB) algorithm is proposed to overcome these problems. After transforming the array input data vector with the trans- formation matrix, the weight vector of the T-LCOBPB algorithm is generated by obliquely projecting the fixed weight vector of the linearly constrained minimum variance algorithm onto the signal sub- space, thus achieving adaptive beamforming. The simulation results reveal that the T-LCOBPB algo- rithm has better beamforming performance both in high and low SNR, and it also has better perform- ance in small snapshot number and coherent sources. The T-LCOBPB algorithm has robust character- istic and good performance.